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3D ELECTRICAL IMPEDANCE TOMOGRAPHY RECONSTRUCTIONS FROM SIMULATED ELECTRODE DATA USING DIRECT INVERSION texp AND CALDERÓN METHODS.
Hamilton, S J; Isaacson, D; Kolehmainen, V; Muller, P A; Toivanen, J; Bray, P F.
Affiliation
  • Hamilton SJ; Department of Mathematical and Statistical Sciences; Marquette University, Milwaukee, WI 53233 USA.
  • Isaacson D; Department of Mathematical Sciences, Rensselaer Polytechnic Institute, Troy, NY, 12180, USA.
  • Kolehmainen V; Department of Applied Physics, University of Eastern Finland, FI-70210 Kuopio, Finland.
  • Muller PA; Department of Mathematics & Statistics; Villanova University, Villanova, PA 19085 USA.
  • Toivanen J; Department of Applied Physics, University of Eastern Finland, FI-70210 Kuopio, Finland.
  • Bray PF; Department of Mathematics; Drexel University, Philadelphia, PA 19104 USA.
Inverse Probl Imaging (Springfield) ; 15(5): 1135-1169, 2021 Oct.
Article in En | MEDLINE | ID: mdl-35173824
ABSTRACT
The first numerical implementation of a t exp method in 3D using simulated electrode data is presented. Results are compared to Calderón's method as well as more common TV and smoothness regularization-based methods. The t exp method for EIT is based on tailor-made non-linear Fourier transforms involving the measured current and voltage data. Low-pass filtering in the non-linear Fourier domain is used to stabilize the reconstruction process. In 2D, t exp methods have shown great promise for providing robust real-time absolute and time-difference conductivity reconstructions but have yet to be used on practical electrode data in 3D, until now. Results are presented for simulated data for conductivity and permittivity with disjoint non-radially symmetric targets on spherical domains and noisy voltage data. The 3D t exp and Calderón methods are demonstrated to provide comparable quality to their 2D counterparts, and hold promise for real-time reconstructions due to their fast, non-optimized, computational cost.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Inverse Probl Imaging (Springfield) Year: 2021 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Inverse Probl Imaging (Springfield) Year: 2021 Document type: Article